Sunday, May 15, 2022

Learning to control a computer with your mind

Ferris Jabr, The Man Who Controls Computers With His Mind, The NYTimes Magazine, May 13, 2022.

Dennis DeGray is paralyzed from the neck down. But he's been outfitted with a computer interface that allows him to do various things. It's not simply plug and go. DeGray has had two arrays implanted into his brain; each has 100 electrodes. You have to learn how to use the interface.

After a recovery period, several of Henderson’s collaborators assembled at DeGray’s home and situated him in front of a computer screen displaying a ring of eight white dots the size of quarters, which took turns glowing orange. DeGray’s task was to move a cursor toward the glowing dot using his thoughts alone. The scientists attached cables onto metal pedestals protruding from DeGray’s head, which transmitted the electrical signals recorded in his brain to a decoder: a nearby network of computers running machine-learning algorithms.

The algorithms were constructed by David Brandman, at the time a doctoral student in neuroscience collaborating with the Stanford team through a consortium known as BrainGate. He designed them to rapidly associate different patterns of neural activity with different intended hand movements, and to update themselves every two to three seconds, in theory becoming more accurate each time. If the neurons in DeGray’s skull were like notes on a piano, then his distinct intentions were analogous to unique musical compositions. An attempt to lift his hand would coincide with one neural melody, for example, while trying to move his hand to the right would correspond to another. As the decoder learned to identify the movements DeGray intended, it sent commands to move the cursor in the corresponding direction.

Brandman asked DeGray to imagine a movement that would give him intuitive control of the cursor. Staring at the computer screen, searching his mind for a way to begin, DeGray remembered a scene from the movie “Ghost” in which the deceased Sam Wheat (played by Patrick Swayze) invisibly slides a penny along a door to prove to his girlfriend that he still exists in a spectral form. DeGray pictured himself pushing the cursor with his finger as if it were the penny, willing it toward the target. Although he was physically incapable of moving his hand, he tried to do so with all his might. Brandman was ecstatic to see the decoder work as quickly as he had hoped. In 37 seconds, DeGray gained control of the cursor and reached the first glowing dot. Within several minutes he hit dozens of targets in a row.

Only a few dozen people on the planet have had neural interfaces embedded in their cortical tissue as part of long-term clinical research. DeGray is now one of the most experienced and dedicated among them. Since that initial trial, he has spent more than 1,800 hours spanning nearly 400 training sessions controlling various forms of technology with his mind. He has played a video game, manipulated a robotic limb, sent text messages and emails, purchased products on Amazon and even flown a drone — just a simulator, for now — all without lifting a finger. Together, DeGray and similar volunteers are exploring the frontier of a technology with the potential to fundamentally alter how humans and machines interact.

There's more at the link.

Here's a working paper, co-authored with David Ramsey, a music therapist, explaining how non-invasive interfaces allow paraplegics to play music and thus communicate with one another, Musical Coupling: Social and Physical Healing in Three Disabled Patients.

This working paper debunks Elon Musk's fantasy about thought transfer, Direct Brain-to-Brain Thought Transfer A High Tech Fantasy that Won't Work.

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